Defining a Childhood Type 1 Diabetes Cohort, Clinical Practice Measures, and Outcomes Within Administrative Data in

Danya Fox1, Qian Zhang2, Nazrul Islam3

  • 1Division of Endocrinology, Department of Pediatrics, University of British Columbia, Vancouver, British Columbia, Canada.

PubMed

Insights

Researchers created a cohort of nearly 6,000 individuals with childhood-onset type 1 diabetes (T1D) using administrative data. This cohort enables studying T1D clinical practice measures and their impact on health outcomes.

Area of Science:

  • Endocrinology
  • Public Health
  • Data Science

Background:

  • Childhood-onset type 1 diabetes (T1D) requires long-term management and monitoring.
  • Administrative data offers a valuable resource for population-level health research.
  • Defining clinical practice measures is crucial for assessing diabetes care quality.

Purpose of the Study:

  • To establish a comprehensive administrative cohort of individuals with childhood-onset T1D in British Columbia.
  • To define key clinical practice measures relevant to T1D management using administrative data.

Main Methods:

  • Utilized linked administrative data from British Columbia spanning 1992-1993 to 2019-2020.
  • Applied a validated diabetes case-finding definition and differentiating algorithm to identify eligible individuals.
  • Defined clinical practice measures based on established clinical practice guidelines.

Main Results:

  • An administrative cohort of 5,901 individuals with childhood-diagnosed T1D was established (April 1, 1996 - March 31, 2020).
  • The cohort has a mean age of 22.31 years (SD 8.21).
  • Key derived clinical practice measures include outpatient visits, HbA1c tests, and screenings for thyroid, retinopathy, and nephropathy.

Conclusions:

  • An administrative cohort of approximately 6,000 individuals with childhood-onset T1D and over 20 years of follow-up data has been successfully created.
  • This cohort provides a robust foundation for future research on the relationship between clinical practice measures and clinical outcomes in T1D.
Abstract

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